In this work, the authors present a fully statistical approach to model non--native speakers' pronunciation. Second-language speakers pronounce words in multiple different ways compared to the nativ……続きを見る
著者:Florian Eyben
出版社: Springer International Publishing
発売日: 2015年12月29日
This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the automated analysis and classification of speech and music. It defines several standard acoustic……続きを見る
Die Radio Frequenz Identifikation (RFID) dringt – langsam und stetig – in viele Bereiche der modernen Wirtschaft ein und verändert dabei die Arbeitsprozesse. Bibliotheken sind ein Beispiel dafür: si……続きを見る
This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-……続きを見る
Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios About This Book • Build efficient deep learning pipelines using the popular Tensorflow framewor……続きを見る
Get to grips with the essentials of deep learning by leveraging the power of Python About This Book • Your one-stop solution to get started with the essentials of deep learning and neural network mo……続きを見る
Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming. About This Book • Explore machine learning techniques with prom……続きを見る
This step-by-step guide demonstrates how to build simple-to-advanced applications through examples in R using modern tools.
About This Book
Get a firm hold on the fundamentals of R through practica……続きを見る
How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues ……続きを見る
Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python
Key Features
A go-to guide to help you master AI algorithms and concepts
8 real-world p……続きを見る
Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calcu……続きを見る
A definitive guide to creating an intelligent web application with the best of machine learning and JavaScript About This Book • Solve complex computational problems in browser with JavaScript • Tea……続きを見る
Many impressive achievements have recently emerged in machine learning and narrow AI. For example, modern deep neural networks can recognize and even generate some types of patterns even better than……続きを見る
The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial I……続きを見る
Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem
Key Features
Build deep learning models with transfer learning p……続きを見る
著者:Brian Lennon
出版社: Harvard University Press
発売日: 2018年02月26日
Cryptology, the mathematical and technical science of ciphers and codes, and philology, the humanistic study of natural or human languages, are typically understood as separate domains of activity. ……続きを見る
Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with ease
Key Features
Enter the world of AI with the help of solid concepts and real-world use cases
Explor……続きを見る
Implement intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulator
Key Features
E……続きを見る
Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn
Key Features
Build a variety of Hidden Markov Models (HMM)
Create and apply models t……続きを見る
Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow
Key Features
Weave neural networks into linguistic applications across various platforms
Perform NLP tasks and trai……続きを見る
Para estudiar el proceso de maquetación de una página web, en este curso vamos a utilizar un ejemplo fi cticio que te servirá para poder visualizar todo el proceso, desde el diseño gráfico inicial ……続きを見る
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing……続きを見る
Within the rapidly-growing arena of 'virtual worlds', such as Massively Multiplayer Online Games (MMOs), individuals behave in particular ways, influence one another, and develop complex relationshi……続きを見る
Incorporate intelligence to your data-driven business insights and high accuracy business solutions
Key Features
Explore IBM Watson capabilities such as Natural Language Processing (NLP) and machin……続きを見る
Build and deploy powerful neural network models using the latest Java deep learning libraries About This Book • Understand DL with Java by implementing real-world projects • Master implementations o……続きを見る
Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies
Key Features
Learn advanced concepts in Azure ML and the Cortana Intelli……続きを見る
Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet
Key Features
Use R 3.5 for building deep learning models for computer vision and text
Apply deep learning techniques in c……続きを見る
With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) an……続きを見る
Explore various approaches to organize and extract useful text from unstructured data using Java
Key Features
Use deep learning and NLP techniques in Java to discover hidden insights in text
Work w……続きを見る